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Optimal Stochastic Scheduling

Many interesting and important results on stochastic scheduling problems have been developed in recent years, with the aid of probability;

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Principles of Sequencing and Scheduling

field. The text offers balanced coverage of deterministic models and stochastic models and includes new developments in safe scheduling and;

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Stochastic Scheduling

Stochastic scheduling is in the area of production scheduling. There is a dearth of work that analyzes the variability of schedules. In a;

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Stochastic Scheduling

Stochastic scheduling is in the area of production scheduling. There is a dearth of work that analyzes the variability of schedules. In a;

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Dynamic and Stochastic Multi-Project Planning

This book deals with dynamic and stochastic methods for multi-project planning. Based on the idea of using queueing networks for the;

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Restless Multi-Armed Bandit in Opportunistic Scheduling

tools necessarily in the design of computation-efficient algorithms and protocols in stochastic scheduling. The problems addressed in the book;

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Sequencing & Scheduling with Inaccurate Data

major approaches for dealing with such problems: a stochastic approach, a fuzzy approach, a robust approach and a stability approach. Each;

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Principles of Sequencing and Scheduling

with earliness and tardiness penalties. The most current material on stochastic scheduling, including correct scheduling of safety time and the;

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Optimization Models and Concepts in Production Management

stochastic modelling.;

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Scheduling and Congestion Control for Wireless and Processing Networks

unavoidable, we establish a general analytical model and extend the above algorithms to that case. Stochastic Processing Networks (SPNs) model;

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Scheduling Theory and Its Applications

Covering deterministic scheduling, stochastic scheduling, and the probabilistic analysis of algorithms, this unusually broad view of the;

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Handbook of Scheduling

constraints while maximizing machine utilization. * Part V discusses stochastic scheduling and queueing networks, highlighting jobs that are not;

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Project Scheduling

with robust scheduling and stochastic scheduling issues. Numerous tables and figures are used throughout the book to enhance the clarity and;

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Introduction to Scheduling

performance of stochastic task-resource systems. The final chapter assesses the impact of platform models on scheduling techniques. From the basics to;

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Introduction to Scheduling

compare the performance of stochastic task-resource systems. The final chapter assesses the impact of platform models on scheduling techniques;

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Programming and Scheduling Techniques

critical chain scheduling techniques options for computer-based scheduling stochastic scheduling techniques including the critical path method;

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Programming and Scheduling Techniques

critical chain scheduling techniques options for computer-based scheduling stochastic scheduling techniques including the critical path method;

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Stochastic Network Optimization With Application to Communication and Queueing Systems

and Lyapunov optimization are developed and shown to enable constrained optimization of time averages in general stochastic systems. The focus;

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Supply Chain Disruption Management: Using Stochastic Mixed Integer Programming

This book deals with stochastic combinatorial optimization problems in supply chain disruption management, with a particular focus on;

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Nonlinear Stochastic Control and Filtering with Engineering-Oriented Complexities

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for;

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Nonlinear Stochastic Control and Filtering With Engineering-Oriented Complexities

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for;

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Handbook of Stochastic Models and Analysis of Manufacturing System Operations

This handbook surveys important stochastic problems and models in manufacturing system operations and their stochastic analysis. Using;

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Scheduling and Congestion Control for Wireless and Processing Networks

unavoidable, we establish a general analytical model and extend the above algorithms to that case. Stochastic Processing Networks (SPNs) model;

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Applications of Stochastic Programming

Research on algorithms and applications of stochastic programming, the study of procedures for decision making under uncertainty over time;

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A Column Generation Approach For Stochastic Optimization Problems

methods that take uncertainty into account can lead to significant reductions in cost. This book investigates the use of stochastic optimization;

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Supply Chain Disruption Management

This book deals with stochastic combinatorial optimization problems in supply chain disruption management, with a particular focus on;

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Stochastic Petri Nets for Wireless Networks

This SpringerBrief presents research in the application of Stochastic Petri Nets (SPN) to the performance evaluation of wireless networks;

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